AI Models Scaled Up 10,000x Are Possible by 2030, Report Says

Quick Summary:

Recent progress in AI largely boils down to one thing: Scale.

Around the beginning of this decade, AI labs noticed that making their algorithms—or models—ever bigger and feeding them more data consistently led to enormous improvements in what they could do and how well they did it.

Warehouses packed with advanced chips and the gear to make them run—or data centers—are power hogs.

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Article Details

Author / Journalist: Jason Dorrier

Category: Technology

Markets: United States

Topics: Artificial Intelligence Topics Future

Source Website Secure: Yes (HTTPS)

News Sentiment: Negative

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-08-29 @ 18:15:42 (2 days ago)

News Timezone: GMT +8:00

News Source URL: singularityhub.com

Language: English

Article Length: 1766 words

Reading Time: 10 minutes read

Sentences: 96 lines

Sentence Length: 19 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © Singularity Hub

News ID: 22305172

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Main Topics: Technology

Official Website: singularityhub.com

Year Established: 2008

Headquarters: United States

News Last Updated: 1 days ago

Coverage Areas: United States

Ownership: Independent Company

Publication Timezone: GMT +8:00

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Publisher ID: #69

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